/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package ai.h2o.sparkling.ml.params

import ai.h2o.sparkling.H2OFrame
import ai.h2o.sparkling.utils.DataFrameSerializationWrappers._
import org.apache.spark.sql.DataFrame

trait HasLinearConstraints extends H2OAlgoParamsBase with HasDataFrameSerializer {
  private val linearConstraints = new NullableDataFrameParam(
    this,
    "linearConstraints",
    "Data frame used to specify linear constraints involving more than one coefficients in standard form.")

  setDefault(linearConstraints -> null)

  def getLinearConstraints(): DataFrame = $(linearConstraints)

  def setLinearConstraints(value: DataFrame): this.type = set(linearConstraints, toWrapper(value))

  private[sparkling] def getLinearConstraintsParam(trainingFrame: H2OFrame): Map[String, Any] = {
    Map("linear_constraints" -> convertDataFrameToH2OFrameKey(getLinearConstraints()))
  }

  override private[sparkling] def getSWtoH2OParamNameMap(): Map[String, String] = {
    super.getSWtoH2OParamNameMap() ++ Map("linearConstraints" -> "linear_constraints")
  }
}
